Innovation
Cardiovolt.ai transforms heart rhythm data into powerful diagnostic tools
Developed by our researchers, Cardiovolt.ai is translating advances in heart rhythm analysis into real-world diagnostic tools, supporting earlier detection and improved treatment of cardiovascular disease.
Read moreSection Leadership
Heads of Section
- Tristan Rodriguez (Non-Clinical)
- Fu Siong Ng (Clinical)
Section Leads
- People and Culture Lead: Prashant Srivastava
- Education Lead: Leanne Felkin
- Research Lead: Michela Noseda
- Deputy: Paz Tayal
Cardiovascular disease remains a major global health challenge, accounting for more than one in four deaths in the UK. Our research addresses this challenge by uncovering the mechanisms that drive disease, identifying new therapeutic opportunities and developing innovative approaches to prevention, diagnosis and treatment.
Bringing together expertise across molecular and cellular biology, engineering, data science and clinical research enables us to translate discovery into real-world impact – improving understanding of disease and delivering tangible benefits for patients and healthcare systems.
Our work spans:
- Cardiac electrophysiology and arrhythmia
- Imaging and diagnostics
- Stem cell and regenerative medicine
- Computational and data-driven cardiology
- Cardiovascular immunology
Cardiac Science team members
Mr Yuzhang Ge
Mr Yuzhang Ge
Research Associate in Computational Modelling
Professor Julia Gorelik
Professor Julia Gorelik
Professor of Cellular Biophysics
Dr Danika M Hayman
Dr Danika M Hayman
Research Associate
Ms Anna Hekkink
Ms Anna Hekkink
Research Assistant
Dr Jiayu Huo
Dr Jiayu Huo
Research Associate in AI and Machine Learning
Dr Oliver S Jones
Dr Oliver S Jones
Clinical Research Fellow
Dr Aleksandra Judina
Dr Aleksandra Judina
Research Associate
Dr Fatemeh Kermani
Dr Fatemeh Kermani
Research Associate
Dr Gul Rukh Khattak
Dr Gul Rukh Khattak
Post-doctoral research associate in artificial intelligence
Dr Angela W C Lee
Dr Angela W C Lee
Research Associate